Updated April 3, 2025
How a Typical Power BI Customer Can Save Millions in Annual CostsThe Rising Cost Challenge for Power BI Customers Organizations across industries rely on Power BI to drive business intelligence and inform strategic decisions. However, as data volumes increase, so do the associated costs. Businesses often face growing expenses related to…
Updated March 31, 2025
Building Trust in NLQ: How to Improve Cortex Analyst Results in SnowflakeNatural language querying (NLQ) has the potential to make data accessible to everyone — not just analysts and data engineers. But in practice, tools like Snowflake Cortex Analyst often deliver inconsistent or inaccurate results. That inconsistency erodes trust, slows adoption,…
Updated March 27, 2025
Breaking Data Silos with Cross-Cloud Federation and Semantic Layers: Key Takeaways from the TDWI Expert PanelRecently, I had the opportunity to join the TDWI expert panel onBreaking Data Silos with Cross-Cloud Federation and Semantic Layers, alongside industry leaders John Korsak, Enterprise Solutions Engineer from Cube, and Fern Halper, TDWI VP Research, Senior Research Director for…
Updated March 25, 2025
Cloud Cost Optimization: Strategies to Reduce Costs & Maximize EfficiencyWhat is Cloud Cost Optimization? Cloud cost optimization is the practice of reducing cloud expenses while maintaining performance and scalability. It involves analyzing cloud usage, right-sizing resources, implementing automation, and leveraging cost-saving tools to maximize efficiency. The goal is to…
Updated March 20, 2025
Semantic Layers in Data Strategy: Enabling Governance and DemocratizationRecently, I had the opportunity to join the EDM Council webinar, Semantic Layers in Data Strategy: Enabling Governance and Democratization, alongside industry experts, including Morgan Templar, Chief Executive Officer at First CDO Partners, and Leigh Pence, Data Governance Senior Tech…
Updated March 13, 2025
Excel + Snowflake: How AtScale Helps Bridge the Gap Between Data Warehouse and Spreadsheet AnalysisDespite heavy investments in Snowflake's modern data platform, many business users still default to Excel for day-to-day analysis. The result? Stale extracts, inconsistent KPIs, and a frustrating disconnect between centralized data and the tools people actually use. The AtScale semantic…
Updated March 10, 2025
Data Intelligence Week: Unlocking AI & BI with AtScale + DatabricksAtScale and Databricks first partnered in early 2022. At the time, Databricks SQL was still gaining traction, and many enterprises relied on various presentation layers for analytics. Our mission was clear: to enable organizations to modernize their analytics stack by…
Updated March 6, 2025
Troubleshooting Snowflake Cortex Analyst: Why Your Results Aren’t AccurateGetting inconsistent or inaccurate results from Snowflake Cortex Analyst? You’re not alone. While Cortex Analyst’s text-to-SQL engine often boasts over 90% accuracy, real-world use cases frequently expose gaps in precision, context, and consistency. The culprit — a missing semantic layer.…
Updated March 4, 2025
The Semantic Lakehouse for AI/BIKyle Hale, Lead Product Architect with Databricks, coined the term "Semantic Lakehouse" in a 2022 blog. The blog explained how to extend the Lakehouse offering to users at the “top of the stack” leveraging PowerBI. The following year, in a…
Updated March 4, 2025
The AtScale & Databricks partnership: A long time ago in a galaxy far, far away….AtScale and Databricks first started partnering together in early 2022. At the time, Databricks SQL was relatively new, and many of their customers were still leveraging optional presentation layers to support Business Intelligence workloads. The partnership began to gain momentum.…
